At a Glance
- Tasks: Design scalable data architectures and optimise data platforms across cloud environments.
- Company: Fast-growing tech company with a purpose-driven culture and global reach.
- Benefits: Competitive salary, hybrid working, 25 days leave, and private healthcare.
- Other info: Join a resourceful team supporting major banks and retailers.
- Why this job: Make a real impact on enterprise data strategy in a dynamic environment.
- Qualifications: Strong expertise in data modelling and experience with SQL/NoSQL databases.
The predicted salary is between 60000 - 80000 £ per year.
Technical Data Architect, Belfast, hybrid working with two days per week in the office. Competitive salary and a strong benefits package.
Shape enterprise wide data architecture across AWS, GCP and hybrid cloud environments. Join a fast growing loyalty and commerce media platform trusted by major banks and retailers worldwide. Genuine influence over data strategy, governance and platform design, reporting to the Director of Data Engineering.
About the Company: Our client is a fast growing, purpose driven technology business operating across multiple countries in Europe, the Middle East and Asia. Their cloud based platform integrates content, advertising and commerce to deliver loyalty and commerce media solutions for some of the world's most recognised banks and retailers. Independently recognised as one of the fastest growing technology scale ups in the UK, the business has returned significant value to consumers worldwide through its rewards platform, and continues to invest heavily in its data and engineering capability.
The Role: This is a senior, highly visible role designing scalable, secure and future proof data architectures that support advanced analytics, business intelligence and enterprise wide data needs. Reporting to the Director of Data Engineering, you will define data models, integration patterns and governance frameworks across cloud and hybrid environments, working closely with engineering, analytics and business teams to translate strategic objectives into robust technical solutions. You will join a dynamic, resourceful team supporting both banking and retail clients as they navigate complex transformation programmes.
Key Responsibilities:
- Develop enterprise wide data architecture strategies aligned with business and technical objectives.
- Define and maintain conceptual, logical and physical data models across multiple domains.
- Design, build and optimise data platforms leveraging AWS, GCP and hybrid cloud environments.
- Implement real time and batch processing pipelines using modern data engineering frameworks.
- Define and enforce data governance standards, including metadata management, data lineage and data quality.
- Ensure compliance with regulatory frameworks such as GDPR and HIPAA.
- Implement encryption, key management and security best practice across all data platforms.
- Partner with engineering, analytics and business stakeholders to translate requirements into technical solutions.
- Provide architectural guidance, technical leadership and mentorship to data engineering teams.
- Evaluate new technologies and recommend solutions that improve performance, scalability and cost efficiency.
What You'll Need:
Essential:
- Strong expertise in data modelling, database design and architecting conceptual, logical and physical models.
- Proven experience with SQL and NoSQL databases such as PostgreSQL, MySQL, DynamoDB and Bigtable.
- Hands on experience building ETL/ELT pipelines and optimising data transformations.
- Practical knowledge of AWS services such as Kinesis, S3 and Redshift, and GCP services such as Pub/Sub and BigQuery.
- Experience with streaming technologies such as Kafka and real time processing engines such as Spark or Flink.
- Strong understanding of performance optimisation, including indexing, partitioning, caching and query tuning.
- Experience working across multi cloud and hybrid cloud environments, including cost optimisation.
Desirable / Nice to Have:
- Relevant certifications such as AWS Certified Data Analytics or Google Professional Data Engineer.
- Knowledge of data governance tools such as Collibra or Apache Atlas.
- Familiarity with encryption standards and key management, such as AES256, TLS, KMS or Vault.
Why Apply?
- Competitive salary and a strong benefits package.
- Hybrid working, two days per week in the Belfast office.
- 25 days annual leave plus bank holidays, with the option to buy, sell or bank days.
- Employee share scheme.
- Private healthcare, dental and optical cover.
- Critical illness and life insurance cover.
- Genuine influence over enterprise data architecture within a fast growing, purpose driven business.
- Strong culture with regular company and team social events.
Technical Data Architect employer: Ocho People
Ocho People is an excellent employer that fosters a dynamic and supportive work culture in Belfast, perfect for those looking to advance their careers in finance. With a commitment to employee growth, we offer study support alongside competitive salaries and benefits, ensuring our team members thrive both professionally and personally in a fast-paced environment.
StudySmarter Expert Advice🤫
We think this is how you could land Technical Data Architect
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Ocho People!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Technical Data Architect at Ocho People.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Ocho People.
✨Apply Directly through Our Website
When you find a suitable opening like Technical Data Architect at Ocho People, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Technical Data Architect
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Ocho People, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Ocho People. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Ocho People
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Ocho People!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
